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Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018)最新文献

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Performance Evaluation of Feature Selection Algorithms Applied to Online Learning in Concept Drift Environments 概念漂移环境下在线学习特征选择算法的性能评价
Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018) Pub Date : 2018-10-22 DOI: 10.5753/ENIAC.2018.4438
M. B. D. Moraes, A. Gradvohl
{"title":"Performance Evaluation of Feature Selection Algorithms Applied to Online Learning in Concept Drift Environments","authors":"M. B. D. Moraes, A. Gradvohl","doi":"10.5753/ENIAC.2018.4438","DOIUrl":"https://doi.org/10.5753/ENIAC.2018.4438","url":null,"abstract":"Data streams are transmitted at high speeds with huge volume and may contain critical information need processing in real-time. Hence, to reduce computational cost and time, the system may apply a feature selection algorithm. However, this is not a trivial task due to the concept drift. In this work, we show that two feature selection algorithms, Information Gain and Online Feature Selection, present lower performance when compared to classification tasks without feature selection. Both algorithms presented more relevant results in one distinct scenario each, showing final accuracies up to 14% higher. The experiments using both real and artificial datasets present a potential for using these methods due to their better adaptability in some concept drift situations.","PeriodicalId":152292,"journal":{"name":"Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126607934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Daily streamflow forecasting for Paraíba do Sul river using machine learning methods with hydrologic inputs 利用水文输入的机器学习方法预测Paraíba do Sul河的日流量
Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018) Pub Date : 2018-10-22 DOI: 10.5753/ENIAC.2018.4413
Y. Gorodetskaya, L. G. Fonseca, Gisele Goulart Tavares, C. B. M. Ribeiro
{"title":"Daily streamflow forecasting for Paraíba do Sul river using machine learning methods with hydrologic inputs","authors":"Y. Gorodetskaya, L. G. Fonseca, Gisele Goulart Tavares, C. B. M. Ribeiro","doi":"10.5753/ENIAC.2018.4413","DOIUrl":"https://doi.org/10.5753/ENIAC.2018.4413","url":null,"abstract":"The Paraíba do Sul river flows through the most important industrial region of Brazil and its basin is characterized by conflicts of multiple uses of its water resources. The prediction of its natural flow has strategic value for water management in this basin. This research investigates the applicability of the two machine learning methods (Random Forest and Artificial Neural Networks) for daily streamflow forecasting of the Paraíba do Sul River at lead times of 1-7 days. The impact of fluviometric and pluviometric data from other basin sites on the quality of the forecast is also evaluated.","PeriodicalId":152292,"journal":{"name":"Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115201128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Plan Existence Verification as Symbolic Model Checking 作为符号模型检查的计划存在性验证
Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018) Pub Date : 2018-10-22 DOI: 10.5753/eniac.2018.4409
Macilio da Silva Ferreira, Maria Viviane de Menezes, L. N. Barros
{"title":"Plan Existence Verification as Symbolic Model Checking","authors":"Macilio da Silva Ferreira, Maria Viviane de Menezes, L. N. Barros","doi":"10.5753/eniac.2018.4409","DOIUrl":"https://doi.org/10.5753/eniac.2018.4409","url":null,"abstract":"Automated Planning is the subarea of AI concerned with the generation of a plan of actions for an agent to achieve its goals. State-of-the-art planning algorithms are based on heuristic search. However, the inexistence of a plan can be a challenge for such planners, since they are not always able to discern the difficulty of finding a solution from its inexistence. The problem of plan existence verification, called planex, is computationally hard. Thus, in 2016, the planning community held for the first time the Unsolvability International Planning Competition (UIPC), which aims to evaluate algorithms on the task of verifying plan existence. The aim of this paper is to propose a new algorithm to solve the planex problem that is based on symbolic model checking approach. The proposed algorithm differs from others based on model checking in two points: (i) it is able to reason about the actions represented in PDDL (Planning Domain Description Language) and; (ii) it is based on the α-CTL logic, whose semantics takes into account the actions responsable for the state transitions. We also evaluate the proposed alorithm over the UIPC planning benchmark problems.","PeriodicalId":152292,"journal":{"name":"Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124332708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Facial Expressions Classification with Ensembles of Convolutional Neural Networks and Smart Voting 基于卷积神经网络和智能投票的面部表情分类
Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018) Pub Date : 2018-10-22 DOI: 10.5753/ENIAC.2018.4448
Rodrigo Moraes, Elloá B. Guedes, C. Figueiredo
{"title":"Facial Expressions Classification with Ensembles of Convolutional Neural Networks and Smart Voting","authors":"Rodrigo Moraes, Elloá B. Guedes, C. Figueiredo","doi":"10.5753/ENIAC.2018.4448","DOIUrl":"https://doi.org/10.5753/ENIAC.2018.4448","url":null,"abstract":"Facial Expression is a very important factor in the social interaction of human beings. And technologies that can automatically interpret and respond to stimuli of facial expressions already find a wide variety of applications, from antidepressant drug testing to fatigue analysis of drivers and pilots. In this context, the following work presents a model for Automatic Classification of Facial Expression using as a training base the dataset Challenges in Representation Learning (FER2013), characterized by examples of spontaneous facial expressions in uncontrolled environments. The presented method is composed by a Convolutional Neural Networks Ensemble architecture, using a non-trivial voting system, based on a smart model, Xtreme Gradient Boosting - XGBoost. As performance criteria for validation of the proposed model, were used K-fold and F1 Score Micro techniques to guarantee robustness and reliability of the results, which are competitive with state-of-the-art works.","PeriodicalId":152292,"journal":{"name":"Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114893170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Eye movements and human face perception: An holistic analysis and proficiency classification based on frontal 2D face images 眼动与人脸感知:基于正面二维人脸图像的整体分析与熟练度分类
Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018) Pub Date : 2018-10-22 DOI: 10.5753/ENIAC.2018.4403
V. P. L. Varela, Estela Ribeiro, Pedro A. S. S. Orona, C. Thomaz
{"title":"Eye movements and human face perception: An holistic analysis and proficiency classification based on frontal 2D face images","authors":"V. P. L. Varela, Estela Ribeiro, Pedro A. S. S. Orona, C. Thomaz","doi":"10.5753/ENIAC.2018.4403","DOIUrl":"https://doi.org/10.5753/ENIAC.2018.4403","url":null,"abstract":"Human faces convey a collection of information, such as gender, identity, and emotional states. Therefore, understanding the differences between volunteers’ eye movements on benchmark tests of face recognition and perception can explicitly indicate the most discriminating regions to improve performance in this visual cognitive task. The aim of this work is to qualify and classify these eye strategies using multivariate statistics and machine learning techniques, achieving up to 94.8% accuracy. Our experimental results show that volunteers have focused their visual attention, on average, at the eyes, but those with superior performance in the tests carried out have looked at the nose region more closely.","PeriodicalId":152292,"journal":{"name":"Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018)","volume":"32 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116406954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Using Graph Spectral to solve Change Point Detection Problems 利用图谱解决变化点检测问题
Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018) Pub Date : 2018-10-22 DOI: 10.5753/ENIAC.2018.4461
Luis Gustavo C. Uzai, A. Kashiwabara
{"title":"Using Graph Spectral to solve Change Point Detection Problems","authors":"Luis Gustavo C. Uzai, A. Kashiwabara","doi":"10.5753/ENIAC.2018.4461","DOIUrl":"https://doi.org/10.5753/ENIAC.2018.4461","url":null,"abstract":"Time series are sequence of values distributed over time. Analyzing time series is important in many areas including medical, financial, aerospace, commercial and entertainment. Change Point Detection is the problem of identifying changes in meaning or distribution of data in a time series. This article presents Spec, a new algorithm that uses the graph spectrum to detect change points. The Spec was evaluated using the UCR Archive which is a large da- tabase of different time series. Spec performance was compared to the PELT, ECP, EDM, and gSeg algorithms. The results showed that Spec achieved a better accuracy compared to the state of the art in some specific scenarios and as efficient as in most cases evaluated.","PeriodicalId":152292,"journal":{"name":"Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124861905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Detecting the presence of meteors in images: new collection and results 探测图像中流星的存在:新的收集和结果
Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018) Pub Date : 2018-10-22 DOI: 10.5753/ENIAC.2018.4410
R. M. Silva, Ana Carolina Lorena, Tiago A. Almeida
{"title":"Detecting the presence of meteors in images: new collection and results","authors":"R. M. Silva, Ana Carolina Lorena, Tiago A. Almeida","doi":"10.5753/ENIAC.2018.4410","DOIUrl":"https://doi.org/10.5753/ENIAC.2018.4410","url":null,"abstract":"In this paper, we present a new public and real dataset of labeled images of meteors and non-meteors that we recently used in a machine learning competition. We also present a comprehensive performance evaluation of several established machine learning methods and compare the results with a stacking approach – one of the winning solutions of the competition. We compared the performance obtained by the methods in the traditional repeated five-fold cross-validation with the ones obtained using the training and test partitions used in the competition. A careful analysis of the results indicates that, in general, the stacking based approach obtained the best performances compared to the baselines. Moreover, we found evidence that the validation strategy used by the platform that hosted the competition can lead to results that do not sustain in a cross-validation setup, which is recommendable in real-world scenarios.\u0000","PeriodicalId":152292,"journal":{"name":"Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128470768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Processamento de Linguagem Natural Controlada utilizando uma Máquina de Moore 使用摩尔机器控制自然语言处理
Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018) Pub Date : 2018-10-22 DOI: 10.5753/ENIAC.2018.4400
Hortevan M. Frutuoso, Benjamín R. C. Bedregal
{"title":"Processamento de Linguagem Natural Controlada utilizando uma Máquina de Moore","authors":"Hortevan M. Frutuoso, Benjamín R. C. Bedregal","doi":"10.5753/ENIAC.2018.4400","DOIUrl":"https://doi.org/10.5753/ENIAC.2018.4400","url":null,"abstract":"Este artigo propõe um algoritmo para processamento de linguagem natural controlada usando uma Máquina de Moore. Inicialmente será apresentada uma breve descrição dos conceitos envolvidos, tais como chatterbot, autômatos e ontologia. Em seguida será apresentado um algoritmo para processamento de linguagem natural controlada e expansível. O algoritmo funciona como um tradutor que transforma a sentença em linguagem natural informada em código executável para uma máquina virtual baseada em pilha, executando o processamento tal qual o conhecimento armazenado no autômato.","PeriodicalId":152292,"journal":{"name":"Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121019239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Exploring Distinct Features for Automatic Short Answer Grading 探索自动简答评分的独特功能
Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018) Pub Date : 2018-10-22 DOI: 10.5753/ENIAC.2018.4399
L. Galhardi, H. C. M. Senefonte, Rodrigo Souza, J. Brancher
{"title":"Exploring Distinct Features for Automatic Short Answer Grading","authors":"L. Galhardi, H. C. M. Senefonte, Rodrigo Souza, J. Brancher","doi":"10.5753/ENIAC.2018.4399","DOIUrl":"https://doi.org/10.5753/ENIAC.2018.4399","url":null,"abstract":"Automatic short answer grading is the study field that addresses the assessment of students’ answers to questions in natural language. The grading of the answers is generally seen as a typical classification supervised learning. To stimulate research in the field, two datasets were publicly released in the SemEval 2013 competition task “Student Response Analysis”. Since then, some works have been developed to improve the results. In this context, the goal of this work is to tackle such task by implementing lessons learned from the literature in an effective way and report results for both datasets and all of its scenarios. The proposed method obtained better results in most scenarios of the competition task and, therefore, higher overall scores when compared to recent works.","PeriodicalId":152292,"journal":{"name":"Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018)","volume":"62 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133895066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Query Expansion based on Local Distributional Thesauri 基于局部分布叙词表的查询扩展
Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018) Pub Date : 2018-10-22 DOI: 10.5753/ENIAC.2018.4479
Fabiano Tavares da Silva, J. Maia
{"title":"Query Expansion based on Local Distributional Thesauri","authors":"Fabiano Tavares da Silva, J. Maia","doi":"10.5753/ENIAC.2018.4479","DOIUrl":"https://doi.org/10.5753/ENIAC.2018.4479","url":null,"abstract":"This work proposes and evaluates an approach to query expansion in Information Retrieval based on Local Context Analysis using a Distributional Semantic Representation. In general, the approach performed better compared to that of query expansion using non-distributional, local or global techniques, running over datasets of different application domains.","PeriodicalId":152292,"journal":{"name":"Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018)","volume":"119 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114006071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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